Connecting Your IBM DB2 & Parquet Data
Whether you’re integrating IBM DB2 with Parquet or moving data from one of these solutions to the other, getting your information where it needs to be is crucial. Use StarfishETL’s robust iPaaS to connect your data with speed and flexibility.
Secure Connections Between IBM DB2 to Parquet
The iPaaS powering your IBM DB2 and Parquet connection not only provides unrivaled scalability, but also offers strict security protocols to keep data safe as it moves across applications. StarfishETL applies two-fold data security between Amazon Web and our internal servers to maintain the highest levels of protected infrastructure. Strict data encryption practices and progressive security principles keep sensitive information secure at all times as it passes between IBM DB2 and Parquet.

IBM DB2 and Parquet Integration
Integrate IBM DB2 and Parquet to boost your analytical power, align your teams, and create more omnichannel experiences across your business. StarfishETL makes the process seamless with a library of pre-configured maps at your fingertips and easy ways to customize your project. Check out the visual below to learn how a typical integration flows. Then, contact our team to request a quote on your IBM DB2 and Parquet project.

Set up access to each system

Define processes & stages

Modify integration & add custom fields

Test integration

Run initial data migration load

Ensure keys are matching between systems

Start integration
Ready to Connect?
Unlock seamless data integration between your systems with StarfishETL. Fill out the form below to get started
About These Solutions
IBM DB2 is IBM's Relational Database Management system. Now available on cloud as a fully-managed SQL database, DB2 is built for AI integration and big data analytics.
Apache Parquet is an open source, column-oriented data file format that provides data compression and encoding schemes for handling bulk loads of complex data in the Hadoop ecosystem. Designed for efficient data storage and retrieval, Parquet can store and analyze large volumes of data with flexible compression options and fast query performance.
Top Rated by Users










